Triple
T4049239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condola Rashad |
E84143
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Condola
Condola is the given name of Condola Rashad, an American actress known for her work on stage and screen.
|
E409114
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Condola | Statement: [Condola Rashad, givenName, Condola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Condola Context triple: [Condola Rashad, givenName, Condola]
-
A.
Condoleezza
Condoleezza is the distinctive given name of Condoleezza Rice, the American political scientist and former U.S. Secretary of State.
-
B.
Claudia Alta Johnson
Claudia Alta "Lady Bird" Johnson was the First Lady of the United States from 1963 to 1969, known for her environmental beautification efforts and advocacy for conservation and highway landscape programs.
-
C.
Leah Ashley
Leah Ashley is a fashion and lifestyle expert best known as a co-host and style contributor on the daytime talk show FABLife.
-
D.
Hilary Geary Ross
Hilary Geary Ross is an American socialite, philanthropist, and society columnist known for her prominent role in New York and Palm Beach social circles.
-
E.
Hochuli
Hochuli is a surname most prominently associated with Ed Hochuli, a well-known former NFL referee recognized for his detailed penalty explanations and muscular physique.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Condola Triple: [Condola Rashad, givenName, Condola]
Generated description
Condola is the given name of Condola Rashad, an American actress known for her work on stage and screen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Condola Target entity description: Condola is the given name of Condola Rashad, an American actress known for her work on stage and screen.
-
A.
Condoleezza
Condoleezza is the distinctive given name of Condoleezza Rice, the American political scientist and former U.S. Secretary of State.
-
B.
Claudia Alta Johnson
Claudia Alta "Lady Bird" Johnson was the First Lady of the United States from 1963 to 1969, known for her environmental beautification efforts and advocacy for conservation and highway landscape programs.
-
C.
Leah Ashley
Leah Ashley is a fashion and lifestyle expert best known as a co-host and style contributor on the daytime talk show FABLife.
-
D.
Hilary Geary Ross
Hilary Geary Ross is an American socialite, philanthropist, and society columnist known for her prominent role in New York and Palm Beach social circles.
-
E.
Hochuli
Hochuli is a surname most prominently associated with Ed Hochuli, a well-known former NFL referee recognized for his detailed penalty explanations and muscular physique.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb82d1a08190aa8c5c48d368b58b |
completed | March 9, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55656ecbc819093f23636a7f72f36 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b55718acb88190a491e9654c1f1b7f |
completed | March 14, 2026, 12:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55785a6b4819083737f26eb5db217 |
completed | March 14, 2026, 12:41 p.m. |
Created at: March 9, 2026, 3:37 p.m.